{"title":"评价连续抽样中敏感变量随机响应技术下测量误差的影响","authors":"Kumari Priyanka, Pidugu Trisandhya, Ajay Kumar","doi":"10.1007/s40010-023-00836-w","DOIUrl":null,"url":null,"abstract":"<div><p>In the present work, we estimate sensitive population mean at current occasion in presence of measurement error at both occasions in two occasion successive sampling. Compulsory and optional randomized response technique have been fused with calibration technique at both occasions. Responses are recorded with measurement error. Asymptotic properties of estimators are derived. The variances of the proposed estimators are also obtained upto first order of approximation under both the models. Mutual comparison of compulsory and optional randomized response technique is carried out in presence of measurement error. To show the impact of measurement error, the estimators are compared with similar direct estimators. A natural population related to COVID-19 infection has been considered to validate the theoretical findings. Further, simulation study is aided to show the practicability of the proposed estimators.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Effect of Measurement Error Under Randomized Response Techniques of the Sensitive Variable in Successive Sampling\",\"authors\":\"Kumari Priyanka, Pidugu Trisandhya, Ajay Kumar\",\"doi\":\"10.1007/s40010-023-00836-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the present work, we estimate sensitive population mean at current occasion in presence of measurement error at both occasions in two occasion successive sampling. Compulsory and optional randomized response technique have been fused with calibration technique at both occasions. Responses are recorded with measurement error. Asymptotic properties of estimators are derived. The variances of the proposed estimators are also obtained upto first order of approximation under both the models. Mutual comparison of compulsory and optional randomized response technique is carried out in presence of measurement error. To show the impact of measurement error, the estimators are compared with similar direct estimators. A natural population related to COVID-19 infection has been considered to validate the theoretical findings. Further, simulation study is aided to show the practicability of the proposed estimators.</p></div>\",\"PeriodicalId\":744,\"journal\":{\"name\":\"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s40010-023-00836-w\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","FirstCategoryId":"103","ListUrlMain":"https://link.springer.com/article/10.1007/s40010-023-00836-w","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Evaluating the Effect of Measurement Error Under Randomized Response Techniques of the Sensitive Variable in Successive Sampling
In the present work, we estimate sensitive population mean at current occasion in presence of measurement error at both occasions in two occasion successive sampling. Compulsory and optional randomized response technique have been fused with calibration technique at both occasions. Responses are recorded with measurement error. Asymptotic properties of estimators are derived. The variances of the proposed estimators are also obtained upto first order of approximation under both the models. Mutual comparison of compulsory and optional randomized response technique is carried out in presence of measurement error. To show the impact of measurement error, the estimators are compared with similar direct estimators. A natural population related to COVID-19 infection has been considered to validate the theoretical findings. Further, simulation study is aided to show the practicability of the proposed estimators.